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Common Weakness Enumeration

CWE-824

Allowed

Access of Uninitialized Pointer

Abstraction: Base · Status: Incomplete

The product accesses or uses a pointer that has not been initialized.

455 vulnerabilities reference this CWE, most recent first.

GHSA-VWHQ-49R4-GJ9V

Vulnerability from github – Published: 2021-11-10 18:58 – Updated: 2024-11-07 22:17
VLAI
Summary
Reference binding to `nullptr` in `tf.ragged.cross`
Details

Impact

The shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. In the following scenario, this results in a crash:

import tensorflow as tf

@tf.function                 
def test():     
  y = tf.ragged.cross([tf.ragged.constant([['1']]),'2'])
  return y                   

test()        

Patches

We have patched the issue in GitHub commit fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.6.0"
            },
            {
              "fixed": "2.6.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.4.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-41214"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-08T22:24:08Z",
    "nvd_published_at": "2021-11-05T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nThe [shape inference code for `tf.ragged.cross`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/ragged_array_ops.cc#L64) has an undefined behavior due to binding a reference to `nullptr`. In the following scenario, this results in a crash:\n\n```python\nimport tensorflow as tf\n  \n@tf.function                 \ndef test():     \n  y = tf.ragged.cross([tf.ragged.constant([[\u00271\u0027]]),\u00272\u0027])\n  return y                   \n                             \ntest()        \n```                          \n             \n### Patches\nWe have patched the issue in GitHub commit [fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8](https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8).\n  \nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-vwhq-49r4-gj9v",
  "modified": "2024-11-07T22:17:16Z",
  "published": "2021-11-10T18:58:16Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vwhq-49r4-gj9v"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41214"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-623.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-821.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-406.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Reference binding to `nullptr` in `tf.ragged.cross`"
}

GHSA-W466-HVWW-7WFM

Vulnerability from github – Published: 2022-05-13 01:25 – Updated: 2022-05-13 01:25
VLAI
Details

Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly interact with extensions, which allows remote attackers to cause a denial of service via a crafted extension that triggers an uninitialized pointer.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2011-0479"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2011-01-14T17:00:00Z",
    "severity": "HIGH"
  },
  "details": "Google Chrome before 8.0.552.237 and Chrome OS before 8.0.552.344 do not properly interact with extensions, which allows remote attackers to cause a denial of service via a crafted extension that triggers an uninitialized pointer.",
  "id": "GHSA-w466-hvww-7wfm",
  "modified": "2022-05-13T01:25:08Z",
  "published": "2022-05-13T01:25:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2011-0479"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/64670"
    },
    {
      "type": "WEB",
      "url": "https://oval.cisecurity.org/repository/search/definition/oval%3Aorg.mitre.oval%3Adef%3A14746"
    },
    {
      "type": "WEB",
      "url": "http://code.google.com/p/chromium/issues/detail?id=67393"
    },
    {
      "type": "WEB",
      "url": "http://googlechromereleases.blogspot.com/2011/01/chrome-stable-release.html"
    },
    {
      "type": "WEB",
      "url": "http://osvdb.org/70462"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/42951"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/45788"
    },
    {
      "type": "WEB",
      "url": "http://www.srware.net/forum/viewtopic.php?f=18\u0026t=2054"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

GHSA-W4XF-2PQW-5MQ7

Vulnerability from github – Published: 2021-08-25 14:42 – Updated: 2024-11-13 20:58
VLAI
Summary
Reference binding to nullptr in `RaggedTensorToVariant`
Details

Impact

An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.RaggedTensorToVariant:

import tensorflow as tf

tf.raw_ops.RaggedTensorToVariant(
  rt_nested_splits=[],
  rt_dense_values=[1,2,3],
  batched_input=True)

The implementation has an incomplete validation of the splits values, missing the case when the argument would be empty.

Patches

We have patched the issue in GitHub commit be7a4de6adfbd303ce08be4332554dff70362612.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37666"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-24T13:57:28Z",
    "nvd_published_at": "2021-08-12T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nAn attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.RaggedTensorToVariant`:\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.RaggedTensorToVariant(\n  rt_nested_splits=[],\n  rt_dense_values=[1,2,3],\n  batched_input=True)\n```\n  \nThe [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L129) has an incomplete validation of the splits values, missing the case when the argument would be empty.\n\n### Patches\nWe have patched the issue in GitHub commit [be7a4de6adfbd303ce08be4332554dff70362612](https://github.com/tensorflow/tensorflow/commit/be7a4de6adfbd303ce08be4332554dff70362612).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n  \n### Attribution\nThis vulnerability has been reported by members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-w4xf-2pqw-5mq7",
  "modified": "2024-11-13T20:58:48Z",
  "published": "2021-08-25T14:42:13Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w4xf-2pqw-5mq7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37666"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/be7a4de6adfbd303ce08be4332554dff70362612"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-579.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-777.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-288.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Reference binding to nullptr in `RaggedTensorToVariant`"
}

GHSA-W74J-V8XH-3W5H

Vulnerability from github – Published: 2021-08-25 14:42 – Updated: 2024-11-13 20:59
VLAI
Summary
Reference binding to nullptr in unicode encoding
Details

Impact

An attacker can cause undefined behavior via binding a reference to null pointer in tf.raw_ops.UnicodeEncode:

import tensorflow as tf
from tensorflow.python.ops import gen_string_ops

gen_string_ops.unicode_encode(
  input_values=[],
  input_splits=[],
  output_encoding='UTF-8',
  errors='ignore',
  replacement_char='a')

The implementation reads the first dimension of the input_splits tensor before validating that this tensor is not empty:

  const Tensor& input_splits = context->input(1);
  const auto input_splits_flat = input_splits.flat<SPLITS_TYPE>();
  TensorShape output_shape({input_splits.dim_size(0) - 1});

Patches

We have patched the issue in GitHub commit 2e0ee46f1a47675152d3d865797a18358881d7a6.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-cpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.3.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.4.0"
            },
            {
              "fixed": "2.4.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tensorflow-gpu"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "2.5.0"
            },
            {
              "fixed": "2.5.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "2.5.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2021-37667"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-08-24T14:18:05Z",
    "nvd_published_at": "2021-08-12T22:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\nAn attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.UnicodeEncode`:\n\n```python\nimport tensorflow as tf\nfrom tensorflow.python.ops import gen_string_ops\n\ngen_string_ops.unicode_encode(\n  input_values=[],\n  input_splits=[],\n  output_encoding=\u0027UTF-8\u0027,\n  errors=\u0027ignore\u0027,\n  replacement_char=\u0027a\u0027)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unicode_ops.cc#L533-L539) reads the first dimension of the `input_splits` tensor before validating that this tensor is not empty: \n\n```cc\n  const Tensor\u0026 input_splits = context-\u003einput(1);\n  const auto input_splits_flat = input_splits.flat\u003cSPLITS_TYPE\u003e();\n  TensorShape output_shape({input_splits.dim_size(0) - 1});\n```\n\n### Patches\nWe have patched the issue in GitHub commit [2e0ee46f1a47675152d3d865797a18358881d7a6](https://github.com/tensorflow/tensorflow/commit/2e0ee46f1a47675152d3d865797a18358881d7a6).\n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by members of the Aivul Team from Qihoo 360.",
  "id": "GHSA-w74j-v8xh-3w5h",
  "modified": "2024-11-13T20:59:17Z",
  "published": "2021-08-25T14:42:09Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w74j-v8xh-3w5h"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37667"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tensorflow/tensorflow/commit/2e0ee46f1a47675152d3d865797a18358881d7a6"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-580.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-778.yaml"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-289.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tensorflow/tensorflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Reference binding to nullptr in unicode encoding"
}

GHSA-W77W-253G-C7QP

Vulnerability from github – Published: 2022-09-14 00:00 – Updated: 2022-09-14 00:00
VLAI
Details

A vulnerability has been identified in Parasolid V33.1 (All versions < V33.1.262), Parasolid V33.1 (All versions >= V33.1.262 < V33.1.263), Parasolid V34.0 (All versions < V34.0.252), Parasolid V34.1 (All versions < V34.1.242), Parasolid V35.0 (All versions < V35.0.161), Parasolid V35.0 (All versions >= V35.0.161 < V35.0.164), Simcenter Femap V2022.1 (All versions < V2022.1.3), Simcenter Femap V2022.2 (All versions < V2022.2.2). The affected application is vulnerable to uninitialized pointer access while parsing specially crafted X_T files. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-17506)

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-39147"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-09-13T10:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been identified in Parasolid V33.1 (All versions \u003c V33.1.262), Parasolid V33.1 (All versions \u003e= V33.1.262 \u003c V33.1.263), Parasolid V34.0 (All versions \u003c V34.0.252), Parasolid V34.1 (All versions \u003c V34.1.242), Parasolid V35.0 (All versions \u003c V35.0.161), Parasolid V35.0 (All versions \u003e= V35.0.161 \u003c V35.0.164), Simcenter Femap V2022.1 (All versions \u003c V2022.1.3), Simcenter Femap V2022.2 (All versions \u003c V2022.2.2). The affected application is vulnerable to uninitialized pointer access while parsing specially crafted X_T files. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-17506)",
  "id": "GHSA-w77w-253g-c7qp",
  "modified": "2022-09-14T00:00:50Z",
  "published": "2022-09-14T00:00:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-39147"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-518824.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-W8VG-H5MJ-7G47

Vulnerability from github – Published: 2022-02-11 00:00 – Updated: 2025-05-05 18:31
VLAI
Details

Access of uninitialized pointer in the Intel(R) Trace Analyzer and Collector before version 2021.5 may allow an authenticated user to potentially enable denial of service via local access.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-21156"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-02-09T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Access of uninitialized pointer in the Intel(R) Trace Analyzer and Collector before version 2021.5 may allow an authenticated user to potentially enable denial of service via local access.",
  "id": "GHSA-w8vg-h5mj-7g47",
  "modified": "2025-05-05T18:31:35Z",
  "published": "2022-02-11T00:00:51Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21156"
    },
    {
      "type": "WEB",
      "url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00639.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-WCPP-3X59-H8VP

Vulnerability from github – Published: 2026-03-12 21:34 – Updated: 2026-07-14 15:31
VLAI
Details

Vulnerability in the OpenSSH GSSAPI delta included in various Linux distributions. This vulnerability affects the GSSAPI patches added by various Linux distributions and does not affect the OpenSSH upstream project itself. The usage of sshpkt_disconnect() on an error, which does not terminate the process, allows an attacker to send an unexpected GSSAPI message type during the GSSAPI key exchange to the server, which will call the underlying function and continue the execution of the program without setting the related connection variables. As the variables are not initialized to NULL the code later accesses those uninitialized variables, accessing random memory, which could lead to undefined behavior. The recommended workaround is to use ssh_packet_disconnect() instead, which does terminate the process. The impact of the vulnerability depends heavily on the compiler flag hardening configuration.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-3497"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824",
      "CWE-908"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-12T19:16:19Z",
    "severity": "MODERATE"
  },
  "details": "Vulnerability in the OpenSSH GSSAPI delta included in various Linux distributions. This vulnerability affects the GSSAPI patches added by various Linux distributions and does not affect the OpenSSH upstream project itself. The usage of sshpkt_disconnect() on an error, which does not terminate the process, allows an attacker to send an unexpected GSSAPI message type during the GSSAPI key exchange to the server, which will call the underlying function and continue the execution of the program without setting the related connection variables. As the variables are not initialized to NULL the code later accesses those uninitialized variables, accessing random memory, which could lead to undefined behavior. The recommended workaround is to use ssh_packet_disconnect() instead, which does terminate the process. The impact of the vulnerability depends heavily on the compiler flag hardening configuration.",
  "id": "GHSA-wcpp-3x59-h8vp",
  "modified": "2026-07-14T15:31:40Z",
  "published": "2026-03-12T21:34:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-3497"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:10065"
    },
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      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:21690"
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      "type": "WEB",
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    },
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      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:5475"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:6461"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:6462"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:6463"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:7107"
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      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:9732"
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    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-3497"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2447085"
    },
    {
      "type": "WEB",
      "url": "https://cert-portal.siemens.com/productcert/html/ssa-019113.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2026/04/msg00014.html"
    },
    {
      "type": "WEB",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-3497.json"
    },
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      "type": "WEB",
      "url": "https://ubuntu.com/security/CVE-2026-3497"
    },
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      "url": "https://www.openwall.com/lists/oss-security/2026/03/12/3"
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    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:10714"
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      "url": "https://access.redhat.com/errata/RHSA-2026:12071"
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    {
      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:13750"
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      "url": "https://access.redhat.com/errata/RHSA-2026:13812"
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      "url": "https://access.redhat.com/errata/RHSA-2026:16174"
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      "url": "https://access.redhat.com/errata/RHSA-2026:17596"
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      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:19725"
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      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:20040"
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      "type": "WEB",
      "url": "https://access.redhat.com/errata/RHSA-2026:20087"
    },
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      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/03/12/3"
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      "url": "http://www.openwall.com/lists/oss-security/2026/03/14/3"
    },
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      "url": "http://www.openwall.com/lists/oss-security/2026/03/14/4"
    },
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      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/03/18/2"
    },
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      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/03/18/4"
    },
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      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/03/18/5"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/03/18/7"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

GHSA-WFX2-P684-Q6V4

Vulnerability from github – Published: 2023-11-16 15:30 – Updated: 2023-11-16 15:30
VLAI
Details

Adobe Media Encoder version 24.0.2 (and earlier) and 23.6 (and earlier) are affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-47044"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-11-16T15:15:11Z",
    "severity": "LOW"
  },
  "details": "Adobe Media Encoder version 24.0.2 (and earlier) and 23.6 (and earlier) are affected by an Access of Uninitialized Pointer vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
  "id": "GHSA-wfx2-p684-q6v4",
  "modified": "2023-11-16T15:30:20Z",
  "published": "2023-11-16T15:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-47044"
    },
    {
      "type": "WEB",
      "url": "https://helpx.adobe.com/security/products/media-encoder/apsb23-63.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-WH9F-45PX-J437

Vulnerability from github – Published: 2022-05-24 19:05 – Updated: 2023-03-15 00:30
VLAI
Details

An invalid pointer initialization issue was found in the SLiRP networking implementation of QEMU. The flaw exists in the udp_input() function and could occur while processing a udp packet that is smaller than the size of the 'udphdr' structure. This issue may lead to out-of-bounds read access or indirect host memory disclosure to the guest. The highest threat from this vulnerability is to data confidentiality. This flaw affects libslirp versions prior to 4.6.0.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-3594"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-06-15T21:15:00Z",
    "severity": "LOW"
  },
  "details": "An invalid pointer initialization issue was found in the SLiRP networking implementation of QEMU. The flaw exists in the udp_input() function and could occur while processing a udp packet that is smaller than the size of the \u0027udphdr\u0027 structure. This issue may lead to out-of-bounds read access or indirect host memory disclosure to the guest. The highest threat from this vulnerability is to data confidentiality. This flaw affects libslirp versions prior to 4.6.0.",
  "id": "GHSA-wh9f-45px-j437",
  "modified": "2023-03-15T00:30:46Z",
  "published": "2022-05-24T19:05:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3594"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1970491"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2021/09/msg00000.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2023/03/msg00013.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GCKWZWY64EHTOQMLVLTSZ4AA27EWRJMH"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/SGPQZFVJCFGDSISFXPCQTTBBD7QZLJKI"
    },
    {
      "type": "WEB",
      "url": "https://security.gentoo.org/glsa/202107-44"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20210805-0004"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

GHSA-WHJF-X8MC-6GR3

Vulnerability from github – Published: 2023-03-07 18:30 – Updated: 2023-03-14 21:30
VLAI
Details

An access of uninitialized pointer vulnerability [CWE-824] in the SSL VPN portal of Fortinet FortiOS version 7.2.0 through 7.2.3, version 7.0.0 through 7.0.9 and before 6.4.11 and FortiProxy version 7.2.0 through 7.2.1, version 7.0.0 through 7.0.7 and before 2.0.11 allows a remote authenticated attacker to crash the sslvpn daemon via an HTTP GET request.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-45861"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-824"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-03-07T17:15:00Z",
    "severity": "MODERATE"
  },
  "details": "An access of uninitialized pointer vulnerability [CWE-824] in the SSL VPN portal of Fortinet FortiOS version 7.2.0 through 7.2.3, version 7.0.0 through 7.0.9 and before 6.4.11 and FortiProxy version 7.2.0 through 7.2.1, version 7.0.0 through 7.0.7 and before 2.0.11 allows a remote authenticated attacker to crash the sslvpn daemon via an HTTP GET request.",
  "id": "GHSA-whjf-x8mc-6gr3",
  "modified": "2023-03-14T21:30:21Z",
  "published": "2023-03-07T18:30:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-45861"
    },
    {
      "type": "WEB",
      "url": "https://fortiguard.com/psirt/FG-IR-22-477"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

No mitigation information available for this CWE.

No CAPEC attack patterns related to this CWE.